Picking up an Object from a Pile of Objects

摘要

This paper describes a hand-eye system we developed to perform the bin-picking task. Two basic tools are employed: the photometric stereo method and the extended Gaussian image. The photometric stereo method generates the surface normal distribution of a scene. The extended Gaussian image allows us to determine the attitude of the object based on the normal distribution. visual analysis of an image consists of two stages. The first stage segments the image into regions and determines the target region.The photometric stereo system provides the surface normal distribution of the scene. The sytem segments the scene into isolated regions using ghe surface normal distribution rathan than the brightness distribuiton. The second stage determines the object attitude and position by comparing the surface normal distribution with the extended-Gaussian-image. Fingers, with LED sensor, mounted on the PUMA arm can successfully pick an object from a pile based on the information from the vision part. (Author)